R&D Scientist in Microbial Ecology
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
Join S-Biomedic, where innovation starts with scientific excellence.
Considering making an application for this job Check all the details in this job description, and then click on Apply.
Are you a scientist who enjoys translating complex biological data into meaningful scientific insights that can shape the future of microbiome-based innovations?
At S-Biomedic, we are looking for an R&D Scientist in Microbial Ecology who combines deep biological expertise with strong analytical and computational skills. If you are driven by scientific curiosity, thrive in a multidisciplinary environment, and enjoy turning complex datasets into actionable insights, this role offers a unique opportunity to make a direct impact on innovative research.
Your responsibilities?
The R&D Scientist in Microbial Ecology contributes to S-Biomedic's scientific innovation in skin microbiome research by designing, executing, analysing experiments across laboratory and clinical studies. This is a balanced hybrid scientific role: the primary expectation is strong biological and mechanistic understanding of microbial ecology, host–microbe interactions, and microbiome-driven skin biology, supported by highly proficient bioinformatics, data analysis, and coding capabilities to independently interrogate complex biological datasets and translate them into actionable R&D insights.
- Lead studies from experimental design through biological interpretation, ensuring that experimental questions, model systems, controls, endpoints, and analyses are scientifically robust and mechanistically meaningful.
- Independently analyse and interpret microbiome, molecular, and multi-omics datasets using appropriate bioinformatics, statistical, visualisation, and coding approaches, while keeping biological meaning and experimental context central to the interpretation.
- Collaborate with internal bioinformatics colleagues to develop, review, or improve analysis workflows, while retaining sufficient hands-on proficiency to perform exploratory analyses, quality checks, visualisations, and interpretation independently when needed.
- Collaborate cross-functionally with R&D, clinical, regulatory, external CROs, and Beiersdorf stakeholders to align experimental outputs with project goals and development priorities.
- Support design, execution, and optimization of wet-lab experiments focused on the skin microbiome, with emphasis on microbial ecology, host–microbe interactions, and microbiome community dynamics.
- Develop, refine, and apply bacterial or community-level models, including co-culture systems, host–microbe assays, biofilm-relevant models, microbial consortia experiments, or other fit-for-purpose in vitro systems.
- Maintain high laboratory standards, including safety, data integrity, traceability, SOP adherence, method optimisation, and continuous improvement of experimental and analytical workflows.
- Communicate results clearly through reports, presentations, internal meetings, and contributions to scientific publications, patent filings, or technical documentation for both technical and non-technical stakeholders.
IT Technical Competencies
- Highly proficient in R, Python, or equivalent tools for biological data handling, statistical analysis, reproducible workflows, and visualisation.
- Experience handling instrument data outputs, assay result files, sequencing-related data files, structured biological datasets, and version-controlled or well-documented analysis outputs.
- Microsoft 365 package, collaborative documentation tools, and electronic lab notebook, LIMS, or equivalent digital lab documentation systems.
Behavioural Competencies
- Scientific curiosity, critical thinking, and the ability to challenge assumptions while connecting evidence across experiments and datasets.
- Strong ownership, accountability, and follow-through in a project-driven R&D environment.
- High attention to detail and strong standards for data integrity, traceability, and reproducibility.
- Proactive, resilient problem solver who can troubleshoot experiments and adapt approaches when needed.
- Clear and effective communicator, able to explain complex scientific findings to technical and non-technical stakeholders.
- Role model for laboratory safety, good documentation practices, and continuous improvement.
- Collaborative team player who works constructively across disciplines and with external partners.
Experience
Minimum 3 years of relevant experience in microbiology, microbial ecology, skin biology, microbiome research, host–microbe interaction studies, or an analogous field, preferably in an industrial R&D, biotech, personal care, pharmaceutical, or translational research environment. The ideal candidate combines strong hands-on biological and scientific expertise with demonstrated